This data package contains Python scrips and codes for the simulation or analysis of altimeter waveforms, as described in De Carlo et al. (2023) and De Carlo and Ardhuin (in preparation). These were used for the figures of the second paper: Figure 1 was adapted from De Carlo et al. (JGR 2023, see Appendix) Figure 2 was generated with this notebook: Figure2_retracking_CFOSAT.ipynb    Note that this uses a nubmer of python functions for retracking altimetry waveforms, and the CFOSAT data L1A and L2 data that is copied here. Figure 4 was generated with this notebook: Figure4_perturbed_waveforms.ipynb Figure 5 was generated with this notebook: Figure5_J_functions.ipynb Figure 6 and 8 were assembled (with inkscape) from pieces generated with this notebook: Figure6_2D_maps_of_retracked_parameters.ipynb Note that some of the simulation steps (in particular the generation of waveforms) can be rather long. You may choose to save waveforms for later retracking (with different options). For that you can set different "iscompute" variables to 0 . This notebook uses CFOSAT data from L2S datasource: Spectrum_L2S_ind9_35.nc  , this was reprocessed by Marine De Carlo as described in De Carlo et al. 2023. Figure 7 was made with the notebook:  Figure7_analyze_1D_coherence.ipynb it uses waveforms and retracked parameters that are in the RETRACKED folder Figure 11 was generated using data and notebooks in the "SIMULATIONS" folder. Note that the waveforms generated and retracked here took a few days to compute on a single processor Intel i7 laptop. Figure B1: was generated with this notebook : FigureB1_effects_of_phase.ipynb and a number of output of the Figure6* notebook: Hs_ze_retrack_3par_NMLS_erf_flat_35_phase000_128_rat0600_nonoise_CFOSAT.npz Hs_ze_retrack_3par_NMLS_erf_flat_35_phase180_128_rat0600_nonoise_CFOSAT.npz Figure C1 was generated with this notebook:  FigureC1_retracking_CFOSAT.ipynb